Point72 Asset Management, L.P
Quantitative Developer
Point72 Asset Management, L.P, San Francisco, California, United States, 94199
About Cubist:Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.
Role:The candidate will be responsible for designing, implementing, and maintaining critical components of trading and research systems for a systematic mid-frequency equity portfolio. Possible projects may include implementing distributed machine learning algorithms, designing new data pipelines for processing news signals, building dashboards for monitoring live trading, or debugging numerical discrepancies in a simulation.
Requirements:3+ years of professional programming experience; prior competitive programming background preferred.Advanced proficiency in Python and its ecosystem.Some experience with C++ or Rust.Strong mathematical background. A good understanding of probability theory and numerical linear algebra is a strong plus.Proficient in technology and passionate about it, with the ability to integrate both open-source and proprietary components to build a robust system.Previous experience with trading system development is a plus.Strong communication skills, with the ability to work effectively and proactively in a small team.Commitment to the highest ethical standards.
The annual base salary range for this role is $150,000-$250,000 (USD)
, which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
#J-18808-Ljbffr
Role:The candidate will be responsible for designing, implementing, and maintaining critical components of trading and research systems for a systematic mid-frequency equity portfolio. Possible projects may include implementing distributed machine learning algorithms, designing new data pipelines for processing news signals, building dashboards for monitoring live trading, or debugging numerical discrepancies in a simulation.
Requirements:3+ years of professional programming experience; prior competitive programming background preferred.Advanced proficiency in Python and its ecosystem.Some experience with C++ or Rust.Strong mathematical background. A good understanding of probability theory and numerical linear algebra is a strong plus.Proficient in technology and passionate about it, with the ability to integrate both open-source and proprietary components to build a robust system.Previous experience with trading system development is a plus.Strong communication skills, with the ability to work effectively and proactively in a small team.Commitment to the highest ethical standards.
The annual base salary range for this role is $150,000-$250,000 (USD)
, which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
#J-18808-Ljbffr